How does this handle activity retries?

It provides implementation patterns for RetryPolicies and ActivityError handling to ensure your system can automatically recover from transient failures.

Does this skill help with Temporal worker setup?

Yes, it includes standardized templates for configuring and running workers that connect to a Temporal cluster.

What is the primary purpose of the Temporal Python skill?

It provides Claude with specialized patterns and best practices for building distributed, reliable workflows using the Temporal Python SDK.

Is this skill suitable for microservices?

Yes, Temporal is specifically designed for orchestrating logic across microservices, and this skill provides the Python-specific patterns to do so.

Can I use this for complex state management?

Absolutely. The skill includes patterns for using signals to inject data into running workflows and queries to retrieve their internal state.

Temporal Python Orchestrator

Name: Temporal Python Orchestrator
Author: martinffx

bymartinffx

•

Cloud Infrastructure

Orchestrates durable, distributed Python workflows using the Temporal SDK to ensure reliable execution of complex business logic.

This skill empowers Claude to design, implement, and manage resilient distributed systems using the Temporal Python SDK. It provides standardized patterns for workflow definitions, activity implementation, worker configuration, and sophisticated state management through signals and queries. It is particularly useful when building fault-tolerant applications that require guaranteed execution, long-running processes, and complex retry logic, helping developers avoid the pitfalls of manual state management in distributed environments.

Key Features

016 GitHub stars

02Implementation of durable activities with custom retry policies

03Standardized worker and workflow definition patterns

04Robust error handling and activity failure recovery

05Best practices for connecting and starting workflows via the Temporal Client

06Asynchronous state management using signals and queries

Use Cases

01Building multi-step payment processing systems with guaranteed consistency

02Managing long-running background tasks like data migrations or batch processing

03Implementing complex business logic that spans across multiple microservices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add martinffx/claude-code-atelier atelier-python-temporal

For use in Claude.ai and ChatGPT

Download Skill